Fei Kang 
- : Exploring the impacts of leader anger expressions on employee boundary-spanning behavior in construction projects. Dans: Engineering, Construction and Architectural Management.
- (2024): Enhancement of underwater dam crack images using multi-feature fusion. Dans: Automation in Construction, v. 167 (novembre 2024).
- (2024): Underwater dam crack image generation based on unsupervised image-to-image translation. Dans: Automation in Construction, v. 163 (juillet 2024).
- : Impacts of leader anger expressions on newcomer proactive career behavior and work alienation in the construction industry. Dans: Engineering, Construction and Architectural Management.
- (2024): Structural identification of concrete dams with ambient vibration based on surrogate-assisted multi-objective salp swarm algorithm. Dans: Structures, v. 60 (février 2024).
- (2024): How to Foster Relational Behavior in Construction Projects: Direct and Mediating Effects of Contractual Complexity and Regulatory Focus. Dans: Journal of Construction Engineering and Management, v. 150, n. 4 (avril 2024).
- (2024): Intelligent segmentation method for blurred cracks and 3D mapping of width nephograms in concrete dams using UAV photogrammetry. Dans: Automation in Construction, v. 157 (janvier 2024).
- (2023): Structural identification of super high arch dams using Gaussian process regression with improved salp swarm algorithm. Dans: Engineering Structures, v. 286 (juillet 2023).
- (2023): Displacement prediction model for high arch dams using long short-term memory based encoder-decoder with dual-stage attention considering measured dam temperature. Dans: Engineering Structures, v. 280 (avril 2023).
- (2023): Embedded PZT aggregates for monitoring crack growth and predicting surface crack in reinforced concrete beam. Dans: Construction and Building Materials, v. 364 (janvier 2023).
- (2022): Image-based automatic multiple-damage detection of concrete dams using region-based convolutional neural networks. Dans: Journal of Civil Structural Health Monitoring, v. 13, n. 2-3 (août 2022).
- (2022): Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction. Dans: Automation in Construction, v. 143 (novembre 2022).
- (2022): SSA optimized back propagation neural network model for dam displacement monitoring based on long-term temperature data. Dans: European Journal of Environmental and Civil Engineering, v. 27, n. 4 (juin 2022).
- (2022): Vibration-Based Damage Detection of Arch Dams Using Least-Square Support Vector Machines and Salp Swarm Algorithms. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 6 (août 2022).
- (2022): Combining transaction characteristics and governance mechanisms to suppress opportunism in construction projects: qualitative comparative analysis. Dans: Engineering, Construction and Architectural Management, v. 30, n. 10 (août 2022).
- (2022): Monitoring and evaluation of the repair quality of concrete cracks using piezoelectric smart aggregates. Dans: Construction and Building Materials, v. 317 (janvier 2022).
- (2022): Real-time monitoring of humidity inside concrete structures utilizing embedded smart aggregates. Dans: Construction and Building Materials, v. 331 (mai 2022).
- (2022): Multi-parameter inverse analysis of concrete dams using kernel extreme learning machines-based response surface model. Dans: Engineering Structures, v. 256 (avril 2022).
- (2021): Impacts of task interdependence and equivocality on ICT adoption in the construction industry: a task-technology fit view. Dans: Architectural Engineering and Design Management, v. 19, n. 1 (février 2021).
- (2021): Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction. Dans: Automation in Construction, v. 130 (octobre 2021).
- (2019): Temperature effect modeling in structural health monitoring of concrete dams using kernel extreme learning machines. Dans: Structural Health Monitoring, v. 19, n. 4 (septembre 2019).
- (2021): Concrete arch dam behavior prediction using kernel-extreme learning machines considering thermal effect. Dans: Journal of Civil Structural Health Monitoring, v. 11, n. 2 (janvier 2021).
- (2020): Displacement Model for Concrete Dam Safety Monitoring via Gaussian Process Regression Considering Extreme Air Temperature. Dans: Journal of Structural Engineering (ASCE), v. 146, n. 1 (janvier 2020).
- (2009): Structural inverse analysis by hybrid simplex artificial bee colony algorithms. Dans: Computers & Structures, v. 87, n. 13-14 (juillet 2009).
- (2016): Artificial Bee Colony Algorithm Optimized Support Vector Regression for System Reliability Analysis of Slopes. Dans: Journal of Computing in Civil Engineering, v. 30, n. 3 (mai 2016).
- (2017): Concrete dam deformation prediction model for health monitoring based on extreme learning machine. Dans: Structural Control and Health Monitoring, v. 24, n. 10 (octobre 2017).
- (2011): Risk analysis of dam based on artificial bee colony algorithm with fuzzy c-means clustering. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 38, n. 5 (mai 2011).
- (2019): Structural health monitoring of concrete dams using long-term air temperature for thermal effect simulation. Dans: Engineering Structures, v. 180 (février 2019).
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